{"id":2505845,"url":"https://alion.io/job/crunchyroll-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":40459,"name":"Crunchyroll","domain":"crunchyroll.com","url":"https://alion.io/company/crunchyroll-news","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-06-12T06:42:12Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-14T22:10:36Z","board_verified":true,"closed_at":null,"days_open":124,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":124},"description":"About Crunchyroll\nFounded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.\nJoin our team, and help us shape the future of anime!\nAbout the role\nCrunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. The AI/ML team relies on strong MLOps practices to ensure models are reliable, scalable, and impactful in production.\nDesign, build, and maintain end-to-end ML infrastructure and pipelines to support model training, deployment, and monitoring.\nDevelop and manage CI/CD pipelines for ML to enable fast, reliable, and automated delivery of ML models.\nImplement and manage model registry, experiment tracking, and versioning using tools like MLflow, SageMaker Model Registry, or equivalent.\nEstablish monitoring, observability, and alerting frameworks to detect drift, degradation, and anomalies in real-time.\nPartner with data scientists to productionize ML models, ensuring seamless transition from research to production.\nOptimize ML workflows for performance, scalability, and cost-effectiveness across training and inference.\nLeverage platforms such as AWS SageMaker, Databricks, Kinesis, Lambda, Kubernetes (EKS), and Docker for ML operations.\nCollaborate with data engineering and software engineering teams to integrate ML services into large-scale distributed systems.\nDrive best practices for MLOps, including reproducibility, governance, compliance, and security of deployed models.\nHow you’ll work with Data Science\nPartner with ML Engineers to deploy and scale models built with frameworks like PyTorch, TensorFlow, and Scikit-learn.\nHelp data scientists track experiments, compare runs, and promote models to production.\nTranslate research notebooks into production-grade pipelines with reproducible training and inference workflows.\nCo-own model lifecycle management: data, training, validation, deployment, monitoring, retraining.\nEnsure ML models align with software engineering best practices for testing, automation, and observability.\nAbout You\nWe get excited about candidates, like you, because...\nBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.\n8+ years of experience in MLOps, ML infrastructure, or DevOps for AI/ML systems.\nMLflow, SageMaker, Databricks ML for experiment tracking, model registry, and lifecycle management.\nAirflow, or Step Functions for workflow orchestration.\nMLFLow for monitoring ML models in production.\nDeep knowledge of CI/CD and automation frameworks (GitHub Actions, Terraform, CloudFormation).\nHands-on experience with containerization (Docker) and orchestration (EKS).\nProficiency in Python and scripting for ML integrations.\nStrong knowledge of cloud platforms (AWS preferred) and services relevant to ML (SageMaker, Lambda, S3, Kinesis, Step Functions).\nUnderstanding of security, compliance, and governance in ML production systems.\nExcellent problem-solving and communication skills, with a proven ability to work with cross-functional teams of data scientists\nAbout the Team\nThe R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.\nWhy you will love working at Crunchyroll\nIn addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:\nBest-in class medical, dental, and vision private insurance healthcare coverage\nAccess to counseling & mental health sessions 24/7 through our Employee Assistance Program (EAP)\nFree premium access to Crunchyroll\nProfessional Development\nCompany's Paid Parental Leave\nup to 26 weeks for birthing parents\nup to 12 weeks for non-birthing parents\nHybrid Work Schedule\nPaid Time Off\nFlex Time Off\n5 Yasumi Days\nHalf-Day Fridays during the summer\nWinter Break\n#LifeAtCrunchyroll ((select from the following job modalities for this role: #LI-Hybrid #LI-remote #LI-onsite))\nAbout our Values\nWe want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value\nCourage. We believe that when we overcome fear, we enable our best selves.\n\nCuriosity. We are curious, which is the gateway to empathy, inclusion, and understanding.\n\nKaizen. We have a growth mindset committed to constant forward progress.\nService. We serve our community with humility, enabling joy and belonging for others.\n\nOur commitment to diversity and inclusion\nOur mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.\nWe are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nCrunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.\nQuestions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs\nPlease refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf\nPlease beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.","description_format":"text","description_chars":6542,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Parental leave","Professional development"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Sales & Marketing","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-10-14T07:14:08Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.331,"p_room":0.28,"age_days":124,"expected_fill_days":31,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-15T01:11:16Z"},"pay":null,"html_url":"https://alion.io/job/crunchyroll-senior-mlops-engineer","json_url":"https://alion.io/job/crunchyroll-senior-mlops-engineer.json","meta":{"generated_at":"2026-10-15T01:11:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1450,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":40459},"rest":"https://alion.io/mcp/rest/get_company?id=40459"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcrunchyroll-senior-mlops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcrunchyroll-senior-mlops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcrunchyroll-senior-mlops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/crunchyroll-senior-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcrunchyroll-senior-mlops-engineer"}]}